Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks

Aiming at the problem of fault location in distribution networks with distributed energy resources (DERs), a fault location method based on the concepts of minimum fault reactance and golden section is proposed in this paper. Considering the influence of distributed energy resource supply on fault point current in distribution networks, an improved trapezoidal iteration method is proposed for load flow analysis and fault current calculation. This method only needs to measure the synchronous current of the distributed energy resource and does not need to measure the voltage information. Therefore, the investment in equipment is reduced. Validation is made using the IEEE 34-node test feeder. The simulation results show that the method is suitable for fault location of distribution networks with multiple distributed generators. This method can accurately locate the faults of the active distribution network under different conditions.

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“…In the forward process, the voltage vector [31] is calculated from the source node to the downstream node as follows:…”

Section: Analysis Processmentioning

confidence: 99%

Fault Location of Active Distribution Networks Based on the Golden Section Method

Yang

Liu

Guo

et al. 2020

Mathematical Problems in Engineering

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“…Спосіб визначення відстані до місця пошкодження [7], заснований на контролі параметрів режиму і параметрів мережі, призначений для активних розподільних мереж з відновлюваними джерелами, тобто для мережі з декількома джерелами живлення. Таким чином, розглянуті відомі методи визначення відстані до точки однофазного замикання на землю не завжди забезпечують малий час, або призначені для використання тільки для певних електричних мереж.…”

Section: розвязання системи рівнянь стану електричної мережі з дефект...unclassified

Solution of the System of State Equations of an Electrical Network With an Insulation Defect or With a Single-Phase Ground Fault

Grebchenko,

Kyrushok

2023

ENERHETYKA: ekonomika, tekhnolohiyi, ekolohiya

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A method for solving the system of equations of the state of an electric network with an isolated neutral is proposed, which is created based on the results of measuring the current vectors of the load connection phases and the phase voltages in relation to the ground, which allows to determine the occurrence of insulation defects, including single-phase short circuits to the ground, and also to determine distance to the single-phase ground fault location. In the well-known system of equations of the state of the electrical network, the parameters of the longitudinal resistance of the line phases are additionally taken into account, which consist of the resistance to the shorting point and the resistance beyond the point of shorting the phase to the ground. Due to simplification, the replacement circuit with additional line phase resistances turns into exactly the same circuit as the circuit without taking into account the line phase resistances, due to which the determination of the line resistance to the closing point is performed using a known algorithm. The accuracy of determining the distance to the closing point was evaluated on the mathematical model of the network node. It was established that the main factors affecting accuracy include the ratio of the capacitance values of the line and the network, the distance to the shorting point, as well as the resistance at the shorting point. When using automatic correction, the error in determining the distance to the shorting point with a resistance of 0.1 Ohm does not exceed 0.9% over almost the entire length of the line. Analytical expressions for determining insulation conductivity and the distance to a local insulation defect are proposed. The elements of the algorithm for determining the distance to the location of a local insulation defect and the results of the accuracy assessment of the method for the specific case of a phase-to-ground fault, in which the transient resistance at the fault location is not taken into account, are given. Automatic selection of circuits with low resistance at the point of the circuit is ensured by checking the value of the determined active resistance, as well as checking the voltage of the damaged phase in relation to the ground.

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“…Many studies have investigated the possibility of applying communication systems (Coffele et al, 2015;Singh et al, 2016), signal processing techniques (Bukhari et al, 2017;Netsanet et al, 2018;Wang et al, 2019;Aftab et al, 2020;Xie et al, 2020;Sharma et al, 2021;Wilches-Bernal et al, 2021), and machine learning tools (Orozco-Henao et al, 2018;Silva et al, 2018;Khalaf et al, 2019;Uzair et al, 2019;Peng et al, 2021) in the protection of ADNs and microgrids. Some of the techniques are modifications of the customary protection schemes that require pre-specified relay settings, although some accommodate adaptive modification of the setting values.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

et al. 2022

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This article proposes a fault detection and location strategy based on cognitive edge computing to harvest the benefits of cognitive edge computing and address the special needs of active distribution networks (ADNs). In the proposed strategy, an ADN smart gateway is used to compile data in a central repository where it will be processed and analyzed. The intermediary smart gateway includes a protection unit where the fault detection, location, and isolation are accomplished through a combination of virtual mode decomposition (VMD), support vector machine (SVM,) and long short-term memory (LSTM)–type deep machine learning tools. The local measurements of branch currents and bus voltages are processed through VMD, and the informative decomposed components are provided as inputs to the SVM-based fault detection unit and LSTM-based fault location unit. The smart digital relay passes trip commands to the respective circuit breaker/s and submits compiled data regarding the history of faults and protection actions to the upper-level units. The findings from simulation results demonstrate the effectiveness of the proposed strategy to provide fast and accurate fault detection and protection against all types of faults and locations in the ADN.

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Adaptive Impedance-Based Fault Location Algorithm for Active Distribution Networks

Cited by 11 publications

References 31 publications

Fault Location of Active Distribution Networks Based on the Golden Section Method

Fault Location of Active Distribution Networks Based on the Golden Section Method

Solution of the System of State Equations of an Electrical Network With an Insulation Defect or With a Single-Phase Ground Fault

Cognitive Edge Computing–Based Fault Detection and Location Strategy for Active Distribution Networks

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